Combining Artificial Neural Network and Ordinary Kriging to Predict Wetland Soil Organic Carbon Concentration in China's Liao River Basin. - Yingdong Kang; Xiaoyan Li; Dehua Mao; Zongming Wang; Mingxuan Liang (Sensors, 2020)

A 28nm Configurable Asynchronous SNN Accelerator with Energy-Efficient Learning. - Jilin Zhang; Mingxuan Liang; Jinsong Wei; Shaojun Wei; Hong Chen 002 (ASYNC, 2021)

A 1.13μJ/Classification Spiking Neural Network Accelerator with a Single-Spike Neuron Model and Sparse Weights. - Mingxuan Liang; Jilin Zhang; Hong Chen 002 (ISCAS, 2021)

Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction. - Mingxuan Liang; Kai Zhou (CoRR, 2021)

Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice. - Junliang Li; Kai Ye; Haolan Kang; Mingxuan Liang; Yuhang Wu; Zhenhua Liu; Huiping Zhuang; Rui Huang; Yongquan Chen (CoRR, 2024)

Intermediary-Supervised Auction Mechanism Design With Deep Neural Networks. - Mingxuan Liang; Junwu Zhu; Yuanyuan Zhang; Xueqing Li; Mingwei Zhao (IEEE Trans. Netw. Sci. Eng., 2025)